In nonlinear time series analysis, the mixture autoregressive model (MAR) is an effective statistical tool to capture multimodality of data. However, traditional methods usually need assume that error follows a specific distribution not adaptive dataset. This paper proposes via asymmetric exponential power distribution, which includes normal skew-normal generalized Laplace and uniform as specia...